Data Analytics and Artificial Intelligence in the Circular Economy-Reference-Cited by-同舟云学术

Data Analytics and Artificial Intelligence in the Circular Economy

Published:2023-11-24 Issue: Volume: Page:40-58
ISSN:2326-6139
Container-title:Advances in Civil and Industrial Engineering
language:
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Author:

Dhanya D.¹,Kumar S. Satheesh²,Thilagavathy A.³,Prasad D. V. S. S. S. V.⁴,Boopathi Sampath⁵^ORCID

Affiliation:

1. Mar Ephraem College of Engineering and Technology, India

2. Panimalar Engineering College, India

3. R.M.K. Engineering College, India

4. Aditya College of Engineering, India

5. Muthayammal Engineering College, India

Abstract

This chapter discusses the implementation of data analytics and artificial intelligence (AI) in the circular economy. The case studies cover various domains, such as resource tracking and tracing, resource recovery, decision-making support systems, and machining optimization. The outcomes include improved supply chain management, extended product lifecycles, reduced waste generation, enhanced product quality, and cost savings. Data analytics and AI have the potential to shape a sustainable circular economy by optimizing resource utilization, improving processes, and enabling informed decision-making.

Publisher

IGI Global

Reference10 articles.

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4. Product Design in a Circular Economy: Development of a Typology of Key Concepts and Terms

5. Key enablers for deploying artificial intelligence for circular economy embracing sustainable product design: Three case studies

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